Spotlight
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Wed 11:25
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Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
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Spotlight
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Wed 8:00
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Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
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Spotlight
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Thu 13:50
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Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
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Poster
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Thu 15:00
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Linear Complexity Randomized Self-attention Mechanism
Lin Zheng · Chong Wang · Lingpeng Kong
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Spotlight
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Tue 14:25
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Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
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Poster
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Tue 15:30
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Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
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Poster
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Wed 15:30
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Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
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Oral
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Tue 11:15
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Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
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Poster
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Thu 15:00
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Measuring dissimilarity with diffeomorphism invariance
Théophile Cantelobre · Carlo Ciliberto · Benjamin Guedj · Alessandro Rudi
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Poster
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Thu 15:00
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Marginal Tail-Adaptive Normalizing Flows
Mike Laszkiewicz · Johannes Lederer · Asja Fischer
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Spotlight
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Thu 13:30
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Sketching Algorithms and Lower Bounds for Ridge Regression
Praneeth Kacham · David Woodruff
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Spotlight
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Tue 7:50
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Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo Lee · Huiyan Sang
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